bigstral-12b-32k
Maintainer: abacusai
41
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model Overview
The bigstral-12b-32k model is a large language model created by the AI research group abacusai. It is a 12 billion parameter model trained on a 32,000 token context window, making it a more capable version of the smaller mistralai/Mistral-7B-Instruct-v0.2 model. The model was created by merging pre-trained language models using the open-source mergekit tool.
Similar models to the bigstral-12b-32k include the Mixtral-8x7B-Instruct-v0.1, OpenHermes-2.5-Mistral-7B, Codestral-22B-v0.1, and Mistral-7B-Instruct-v0.2 models, all created by the Mistral AI research team.
Model Inputs and Outputs
The bigstral-12b-32k model accepts text prompts as input and generates relevant output text. The model uses a prompt format that includes special tokens to denote the start and end of instructions, as well as the start of the model's response.
Inputs
- Text prompts with instructions enclosed in
[INST]and[/INST]tags
Outputs
- Relevant text generated by the model in response to the input prompt
Capabilities
The bigstral-12b-32k model has a wide range of capabilities, including natural language understanding, question answering, code generation, and creative writing. The model can be used to assist with a variety of tasks, such as providing explanations of complex topics, generating new ideas or stories, and even writing code. The model's large context window and high parameter count allow it to generate coherent and detailed responses.
What Can I Use It For?
The bigstral-12b-32k model can be used for a variety of applications, such as:
- Content Generation: The model can be used to generate high-quality text content, such as blog posts, articles, or even creative fiction.
- Conversational AI: With its natural language understanding and generation capabilities, the model can be used to build conversational AI assistants for customer service, personal assistance, or general information retrieval.
- Code Generation: The model can be used to assist with software development tasks, such as generating code snippets, explaining programming concepts, or even building complete applications.
- Research and Prototyping: The model's versatility makes it a valuable tool for researchers and developers who are exploring the capabilities of large language models.
Things to Try
Some interesting things to try with the bigstral-12b-32k model include:
- Task-Specific Prompting: Experiment with different prompting formats and techniques to see how the model performs on specific tasks, such as answering questions, summarizing text, or generating creative writing.
- Multi-Turn Interactions: Engage the model in longer, multi-turn conversations to see how it maintains context and coherence over time.
- Code Generation and Explanation: Challenge the model to generate code or explain programming concepts, and observe its performance and the quality of its responses.
- Controlled Generation: Explore ways to steer the model's generation towards specific outcomes or styles, such as generating text with particular tones, sentiments, or narrative structures.
By exploring the bigstral-12b-32k model's capabilities and limitations, you can gain valuable insights into the current state of large language models and their potential applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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